Just install (might require a few extra packages, but then can be install via pacman.

+

−

(I will try to make a list when I install next)

+

−

For graphical install and interface libxp is needed.

+

Use the following commands to mount and install Matlab. Note that the path to the install script should contain no spaces, or the install will fail. For graphical install and interface {{Pkg|libxp}} is needed. You may need to [[Pacman|install]] {{Pkg|libxp}} from the [[official repositories]] first. Note also that Matlab is not compliant with Java 7, so you may need to install, for example, {{Pkg|openjdk6}}.

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Install from iso file:

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# modprobe loop

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# mount -o loop matlab.iso /mnt/

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# /mnt/install

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pacman -S libxp

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Additionally, install {{Pkg|xorg-fonts-100dpi}}, {{Pkg|xorg-fonts-75dpi}}, and {{Pkg|xorg-fonts-type1}} so fonts are displayed properly in figures.

−

Install from iso file

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−

modprobe loop

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mount -o loop matu2k8b.iso /media/iso/

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−

/media/iso/install

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−

=== x86_64 ===

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=== Create Desktop and Menu Shortcuts ===

−

These are instructions for the installation of 32-bit Matlab on a 64-bit system. Unfortunately, 32-bit is the only version available to students; 64-bit versions are available if you pay more money. These instructions have been updated for the student r2009A version - however the instructions should work with any current version of Matlab. To start off with we need to install a bunch of lib32 packages, not all found with pacman. Check the [[AUR]] for lib32-printproto, lib32-libxp and lib32-libxpm. Install lib32-printproto first, because it's required by lib32-libxp.

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If you choose Custom in Installation Type, the symlink will be created automatically. Otherwise, you may need to manually create a symlink in {{ic|/usr/local/bin}} to make it easier to launch in terminal:

Then create a new .desktop file in {{ic|/usr/share/applications}} with following lines:

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$ yaourt -S lib32-libxp

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−

$ yaourt -S lib32-libxpm

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−

My system is not a fresh install so there may be some other packages needed.

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{{hc|/usr/share/applications/matlab.desktop|<nowiki>

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#!/usr/bin/env xdg-open

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[Desktop Entry]

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Type=Application

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Icon=/usr/share/icons/matlab.png

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Name=MATLAB R2012a

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Comment=Start MATLAB - The Language of Technical Computing

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Exec=matlab -desktop

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Categories=Development;

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</nowiki>

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}}

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Once they are installed

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You can also put this .desktop file in Desktop folder to create a shortcut.

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More details see [https://help.ubuntu.com/community/MATLAB MATLAB - Community Ubuntu Documents]

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+

=== Install 32-bit Matlab on 64-bit system ===

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{{Out of date|Since Version R2012b all Linux versions are 64bit.}}

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Unfortunately, 32-bit is the only version available to students; 64-bit versions are available if you pay more money. These instructions have been updated for r2012a student version. To start off with we need to install a bunch of lib32 packages, not all found with pacman. The following packages must be installed (the list may be out of date):

After fixing any library dependency problems, you will be able to guide the installer through the install process. If activation doesn't work in the installer you'll need to login to Wolfram's site and download a license file which you'll put in {MATLAB}/licenses. After the install process, you'll need to create a symbolic link because the installer oddly thinks it's installing the 64-bit version of Matlab:

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After fixing any library dependency problems, you will be able to guide the installer through the install process. If activation doesn't work in the installer you'll need to login to Wolfram's site and download a license file which you'll put in {{ic|${MATLAB}/licenses}}. After the install process, you'll need to create a symbolic link because the installer oddly thinks it's installing the 64-bit version of Matlab:

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$ cd {MATLAB}/sys/java/jre

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$ cd ${MATLAB}/sys/java/jre

$ ln -s glnx86 glnxa64

$ ln -s glnx86 glnxa64

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In the above, {MATLAB} should be replaced by the root directory you chose for your installation.

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In the above, ${MATLAB} should be replaced by the root directory you chose for your installation.

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After that you'll need to edit the {MATLAB}/bin/matlab script to get the java settings correct. After the comments at the top of the file, you'll need the line

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You'll also need to put another link in Matlab's {{ic|bin}} folder because despite asking Matlab to install the 32bit version, it still thinks you want to use the 64bit one:

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export MATLAB_JAVA={Path of JRE}

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$ cd ${MATLAB}/bin

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$ ln -s glnx86 glnxa64

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Where {Path of JRE} will be /opt/java/jre if you're using Sun's JRE. The path is one level up from where rt.jar is located. That is, rt.jar should be in /opt/java/jre/libs if you used /opt/java/jre for MATLAB_JAVA.

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After that you'll need to edit the {{ic|${MATLAB}/bin/matlab}} script to get the java settings correct. After the comments at the top of the file, you'll need the line:

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export MATLAB_JAVA=/path/to/jre

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Where {{ic|/path/to/jre}} will be {{ic|/opt/java/jre}} if you're using Sun's JRE. The path is one level up from where {{ic|rt.jar}} is located. That is, {{ic|rt.jar}} should be in {{ic|/opt/java/jre/libs}} if you used {{ic|/opt/java/jre}} for {{ic|MATLAB_JAVA}}. In Matlab R2010a it works pretty well, if you use the internal JRE with:

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export MATLAB_JAVA=${MATLAB}/sys/java/jre/glnx86/jre

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If using {{AUR|bin32-openjdk6}}, use

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export MATLAB_JAVA=/usr/lib/jvm/java-7-openjdk/jre/

To run it, you'll need to:

To run it, you'll need to:

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$ cd {MATLAB}/bin/matlab -glnx86 -desktop

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$ ${MATLAB}/bin/matlab -glnx86 -desktop

−

At this point you may have to resolve more library dependencies or troubleshoot Java. Your version of Matlab may need a specific version of Sun's JRE installed.

+

At this point you may have to resolve more library dependencies or troubleshoot [[Java]]. Your version of Matlab may need a specific version of Sun's JRE installed.

−

=== General ===

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== Troubleshooting ==

−

As one installs matlab, it might complain that there isn't a package, for the most part just look at the package name and then install it with pacman, or in the case of x86_64 there are some libraries only in AUR.

+

As one installs Matlab, it might complain that it can't find a package, for the most part just look at the package name and then install it with [[Pacman]], or in the case of x86_64 there are some libraries only in [[AUR]].

−

=== Nvidia OpenGL Acceleration ===

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==== Resolving start warnings/errors ====

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Once matlab is installed type

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* Even if all needed libraries are installed, Matlab when starting can still report some missing libraries. This is resolved by symbolic linking of needed libraries to directories that Matlab checks at start-up. For example, if Matlab triggers error/warning about missing {{ic|/lib64/libc.so.6}} library, this can be resolved by:

−

<pre>

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+

# ln -s /lib/libc.so.6 /lib64

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+

* Matlab R2011b with an up-to-date Arch Linux (as of March 12, 2012) fails on startup with the familiar "Failure loading desktop class." A solution is to point Matlab to the system JVM (confirmed to work with the {{Pkg|jdk7-openjdk}} package):

+

+

export MATLAB_JAVA=/usr/lib/jvm/java-7-openjdk/jre

+

+

==== MATLAB crashes when displaying graphics ====

+

+

To identify this error, start MATLAB with

+

+

LIBGL_DEBUG=verbose matlab

+

+

from the terminal and try to collect OpenGL information with {{ic|opengl info}} from the MATLAB command prompt. If it crashes again and there is an output line like

version `GLIBCXX_3.4.15' not found (required by /usr/lib/xorg/modules/dri/swrast_dri.so))

+

+

then the problem is that MATLAB uses its own GNU C++ library, which is an older version than the up-to-date version on your Archlinux system. Make MATLAB use the current C++ library for your system by

+

+

cd /usr/local/MATLAB/R(your release)/sys/os/glnxa64

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sudo unlink libstdc++.so.6

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sudo ln -s /usr/lib/libstdc++.so.6

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+

== OpenGL Acceleration ==

+

+

Once Matlab is installed type the following in the interpreter:

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>> opengl info

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The output should be similar to the following:

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+

{{bc|<nowiki>

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Version = 2.0 Mesa 7.8.2

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Vendor = Advanced Micro Devices, Inc.

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Renderer = Mesa DRI R600 (RV710 9552) 20090101 x86/MMX/SSE2 TCL DRI2

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MaxTextureSize = 4096

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Visual = 0xcb (TrueColor, depth 24, RGB mask 0xff0000 0xff00 0x00ff)

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Software = false

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# of Extensions = 107

+

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Driver Bug Workarounds:

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OpenGLBitmapZbufferBug = 0

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OpenGLWobbleTesselatorBug = 0

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OpenGLLineSmoothingBug = 0

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OpenGLClippedImageBug = 0

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OpenGLEraseModeBug = 0

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</nowiki>}}

+

This will vary with card you are using, but the important part is "Software = false". If it's not "false" for you, then there is a problem with your hardware acceleration.

+

+

=== NVIDIA ===

+

+

With an [[Nvidia|NVIDIA]] card, the output should be similar to this:

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{{bc|<nowiki>

>> opengl info

>> opengl info

Version = 2.1.2 NVIDIA 177.82

Version = 2.1.2 NVIDIA 177.82

Line 77:

Line 154:

OpenGLClippedImageBug = 1

OpenGLClippedImageBug = 1

OpenGLEraseModeBug = 0

OpenGLEraseModeBug = 0

−

</pre>

+

</nowiki>}}

+

+

With the NVIDIA card all it required to start working was to copy the {{ic|libGLU.so}} from the Matlab installed library {{ic|${MATLAB}/sys/opengl/lib/glnx86/libGLU.so}} to {{ic|/usr/lib directory}}. Note that in x86_64 this might be a different directory.

−

That is what it should look like. If you have a graphics card but it is using Software = true then you have a problem. With the nvidia card all I needed to do to get it working was copy the libGLU.so from the matlab installed library /usr/local/matlab/sys/opengl/lib/glnx86/libGLU.so to /usr/lib directory. NOTE in x86_64 this might be a different directory.

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{{Note|Although, not thoroughly tested, using {{Pkg|lib32-nvidia-utils}} seems to work as well.}}

Revision as of 09:37, 26 November 2012

This article is a stub.

Notes:please use the first argument of the template to provide more detailed indications. (Discuss in Talk:Matlab#)

General installation

Use the following commands to mount and install Matlab. Note that the path to the install script should contain no spaces, or the install will fail. For graphical install and interface libxp is needed. You may need to installlibxp from the official repositories first. Note also that Matlab is not compliant with Java 7, so you may need to install, for example, openjdk6.
Install from iso file:

After fixing any library dependency problems, you will be able to guide the installer through the install process. If activation doesn't work in the installer you'll need to login to Wolfram's site and download a license file which you'll put in ${MATLAB}/licenses. After the install process, you'll need to create a symbolic link because the installer oddly thinks it's installing the 64-bit version of Matlab:

$ cd ${MATLAB}/sys/java/jre
$ ln -s glnx86 glnxa64

In the above, ${MATLAB} should be replaced by the root directory you chose for your installation.

You'll also need to put another link in Matlab's bin folder because despite asking Matlab to install the 32bit version, it still thinks you want to use the 64bit one:

$ cd ${MATLAB}/bin
$ ln -s glnx86 glnxa64

After that you'll need to edit the ${MATLAB}/bin/matlab script to get the java settings correct. After the comments at the top of the file, you'll need the line:

export MATLAB_JAVA=/path/to/jre

Where /path/to/jre will be /opt/java/jre if you're using Sun's JRE. The path is one level up from where rt.jar is located. That is, rt.jar should be in /opt/java/jre/libs if you used /opt/java/jre for MATLAB_JAVA. In Matlab R2010a it works pretty well, if you use the internal JRE with:

At this point you may have to resolve more library dependencies or troubleshoot Java. Your version of Matlab may need a specific version of Sun's JRE installed.

Troubleshooting

As one installs Matlab, it might complain that it can't find a package, for the most part just look at the package name and then install it with Pacman, or in the case of x86_64 there are some libraries only in AUR.

Resolving start warnings/errors

Even if all needed libraries are installed, Matlab when starting can still report some missing libraries. This is resolved by symbolic linking of needed libraries to directories that Matlab checks at start-up. For example, if Matlab triggers error/warning about missing /lib64/libc.so.6 library, this can be resolved by:

# ln -s /lib/libc.so.6 /lib64

Matlab R2011b with an up-to-date Arch Linux (as of March 12, 2012) fails on startup with the familiar "Failure loading desktop class." A solution is to point Matlab to the system JVM (confirmed to work with the jdk7-openjdk package):

export MATLAB_JAVA=/usr/lib/jvm/java-7-openjdk/jre

MATLAB crashes when displaying graphics

To identify this error, start MATLAB with

LIBGL_DEBUG=verbose matlab

from the terminal and try to collect OpenGL information with opengl info from the MATLAB command prompt. If it crashes again and there is an output line like

libGL error: dlopen /usr/lib/xorg/modules/dri/swrast_dri.so failed
(/usr/local/MATLAB/R2011b/bin/glnxa64/../../sys/os/glnxa64/libstdc++.so.6:
version `GLIBCXX_3.4.15' not found (required by /usr/lib/xorg/modules/dri/swrast_dri.so))

then the problem is that MATLAB uses its own GNU C++ library, which is an older version than the up-to-date version on your Archlinux system. Make MATLAB use the current C++ library for your system by

With the NVIDIA card all it required to start working was to copy the libGLU.so from the Matlab installed library ${MATLAB}/sys/opengl/lib/glnx86/libGLU.so to /usr/lib directory. Note that in x86_64 this might be a different directory.